Held at NYU Shanghai’s New Bund Campus over an action-packed week in July, more than 40 PhD, Master’s, and Undergraduate students from ECNU, NYU, and NYUSH attended the 2025 Summer School on Machine Learning and Artificial Intelligence for the Molecular Sciences. A diverse group of faculty and researchers guided students through hands-on exercises and presented a series of technical lectures and research talks focused on the fundamentals of modern machine learning as well as the mechanisms behind advanced models, including diffusion models, generative flow networks, and large language models.
Alongside faculty from NYU Shanghai, ECNU and NYU, the AI ML Molecular Sciences Summer School was proud to host renowned scholars from Fujian Institute of Research on the Structure of Matter, CAS, The Chinese University of Hong Kong(Shenzhen), Hangzhou Institute of Medicine, and University of California, Riverside.
Each day, the summer school was filled with lively demonstrations, stimulating Q & A’s, and moments of insight. Participants from across the disciplines brought experience and expertise to collaboratively approach complex computational problems in chemistry, biology, and materials science, forging bonds of intellectual exchange amongst the next generation of research scientists who will shape the future of AI and the molecular sciences.